Shaped is the fastest path to relevant recommendation and search systems. We help companies turn their behavioral data into truly relevant product and website experiences.

We're a Series A company based in Brooklyn, New York and backed by top investors from Madrona, Y-Combinator, and executives from Meta, Google, Amazon and Uber!

About the Role
At Shaped, we help companies deliver personalized product and website experiences using our recommendation and search systems. We're looking for an Account Executive to promote our platform and drive customer adoption. In this role, you'll connect our technology with prospective customers, demonstrating how easily our solutions can deliver tangible business benefits.

Key Responsibilities

• Drive Customer Acquisition & Revenue Growth:
  Develop and manage a robust sales pipeline, proactively engaging with prospective customers to understand their business needs and demonstrate how Shaped’s platform can deliver relevant, data-driven experiences.
• Deliver Impactful Presentations & Demos:
  Lead engaging product demonstrations and technical presentations, clearly articulating the benefits of our recommendation engine and how it integrates with customers’ existing workflows.
• Build & Nurture Client Relationships:
  Establish and maintain strong, long-lasting relationships with key decision-makers and technical stakeholders, ensuring that customer feedback is communicated across our organization to drive continuous product improvement.
• Collaborate Across Teams:
  Work closely with marketing, product, and engineering teams to develop tailored strategies and solutions that meet customer objectives, while also contributing insights to our product roadmap.
• Market & Industry Engagement:
  Stay informed about industry trends, competitive landscapes, and emerging technologies to effectively position Shaped as the go-to solution for recommendation and search systems.

Qualifications

• 5+ years of experience in sales, account management, or business development within the technology, SaaS or AI
• Prior experience selling to mid-market technical stakeholders such as engineers
• Bachelor’s degree in Business, Marketing, or a related field; an advanced degree is a plus
• Proven track record of meeting or exceeding sales targets in fast-paced, innovative environments
• Excellent written and verbal communication skills, with the ability to convey complex technical concepts in an accessible manner
• Demonstrated ability to build strong relationships with both technical and non-technical stakeholders
• A proactive, “wear-many-hats” attitude and the drive to solve problems creatively in a startup environment
• Familiarity with AI, data science, or recommendation systems is advantageous

About Shaped
Shaped is the fastest path to relevant recommendation and search systems. We empower companies to turn their behavioral data into truly personalized product and website experiences. As a Series A company based in Brooklyn, New York, we’re backed by top investors from Madrona, Y-Combinator, and industry leaders from Meta, Google, Amazon, and Uber. Join us to build the future of personalized digital experiences.

Customers typically use Shaped as follows:

1. Connect your data stack, e.g. data warehouse, database or analytics applications
2. Define your model. This includes your optimization objective (e.g. clicks vs purchases vs shares), item and user catalogs, feature types and model types.
3. Consume your results from our real-time, scalable ranking endpoints
4. Evaluate uplift and model results on our dashboard.

To power all of this, under the hood, we've built a multi-tenanted, real-time machine learning architecture which automatically sets-up and ingests data both in real-time and batch, transforms data and stores it into our proprietary feature/vector store. Ranking models are continuously optimized and fine-tuned based on real-time feedback ensuring customers are seeing the most relevant and up-to-date results possible.

From a machine-learning perspective we use state-of-the-art large scale neural encoding models to understand multi-modal data types such as image, text, audio and tabular data. We provide an exhaustive library of retrieval, ranking and ordering algorithms which are selected based on the specified model definition.

We use both AWS and GCP for cloud. Kubernetes for serverless infrastructure. Python, Javascript and Rust for languages.